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chore: попытка исправить сборку
This commit is contained in:
parent
cc7e24f5d8
commit
ce95ae94ae
5
.github/workflows/release.yml
vendored
5
.github/workflows/release.yml
vendored
@ -44,6 +44,11 @@ jobs:
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with:
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with:
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path: ./.venv
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path: ./.venv
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key: venv-${{ runner.os }}-${{ runner.arch }}-${{ steps.setup-python.outputs.python-version }}-${{ hashFiles('**/poetry.lock') }}
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key: venv-${{ runner.os }}-${{ runner.arch }}-${{ steps.setup-python.outputs.python-version }}-${{ hashFiles('**/poetry.lock') }}
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- name: Setup MSVC (32-bit)
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if: ${{ matrix.arch == 'x86' && matrix.os == 'windows-latest' }}
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uses: bus1/cabuild/action/msdevshell@e22aba57d6e74891d059d66501b6b5aed8123c4d # v1
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with:
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architecture: 'x86'
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- name: Установка зависимостей
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- name: Установка зависимостей
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run: poetry install
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run: poetry install
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- name: Сборка
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- name: Сборка
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117
poetry.lock
generated
117
poetry.lock
generated
@ -603,35 +603,39 @@ setuptools = "*"
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[[package]]
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[[package]]
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name = "numpy"
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name = "numpy"
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version = "1.20.3"
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version = "1.24.4"
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description = "NumPy is the fundamental package for array computing with Python."
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description = "Fundamental package for array computing in Python"
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optional = false
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optional = false
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python-versions = ">=3.7"
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python-versions = ">=3.8"
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files = [
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files = [
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{file = "numpy-1.20.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:70eb5808127284c4e5c9e836208e09d685a7978b6a216db85960b1a112eeace8"},
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{file = "numpy-1.24.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c0bfb52d2169d58c1cdb8cc1f16989101639b34c7d3ce60ed70b19c63eba0b64"},
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{file = "numpy-1.20.3-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:6ca2b85a5997dabc38301a22ee43c82adcb53ff660b89ee88dded6b33687e1d8"},
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{file = "numpy-1.24.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ed094d4f0c177b1b8e7aa9cba7d6ceed51c0e569a5318ac0ca9a090680a6a1b1"},
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{file = "numpy-1.20.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:c5bf0e132acf7557fc9bb8ded8b53bbbbea8892f3c9a1738205878ca9434206a"},
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{file = "numpy-1.24.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:79fc682a374c4a8ed08b331bef9c5f582585d1048fa6d80bc6c35bc384eee9b4"},
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{file = "numpy-1.20.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:db250fd3e90117e0312b611574cd1b3f78bec046783195075cbd7ba9c3d73f16"},
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{file = "numpy-1.24.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ffe43c74893dbf38c2b0a1f5428760a1a9c98285553c89e12d70a96a7f3a4d6"},
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{file = "numpy-1.20.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:637d827248f447e63585ca3f4a7d2dfaa882e094df6cfa177cc9cf9cd6cdf6d2"},
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{file = "numpy-1.24.4-cp310-cp310-win32.whl", hash = "sha256:4c21decb6ea94057331e111a5bed9a79d335658c27ce2adb580fb4d54f2ad9bc"},
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{file = "numpy-1.20.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:8b7bb4b9280da3b2856cb1fc425932f46fba609819ee1c62256f61799e6a51d2"},
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{file = "numpy-1.24.4-cp310-cp310-win_amd64.whl", hash = "sha256:b4bea75e47d9586d31e892a7401f76e909712a0fd510f58f5337bea9572c571e"},
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{file = "numpy-1.20.3-cp37-cp37m-win32.whl", hash = "sha256:67d44acb72c31a97a3d5d33d103ab06d8ac20770e1c5ad81bdb3f0c086a56cf6"},
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{file = "numpy-1.24.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f136bab9c2cfd8da131132c2cf6cc27331dd6fae65f95f69dcd4ae3c3639c810"},
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{file = "numpy-1.20.3-cp37-cp37m-win_amd64.whl", hash = "sha256:43909c8bb289c382170e0282158a38cf306a8ad2ff6dfadc447e90f9961bef43"},
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{file = "numpy-1.24.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e2926dac25b313635e4d6cf4dc4e51c8c0ebfed60b801c799ffc4c32bf3d1254"},
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{file = "numpy-1.20.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:f1452578d0516283c87608a5a5548b0cdde15b99650efdfd85182102ef7a7c17"},
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{file = "numpy-1.24.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:222e40d0e2548690405b0b3c7b21d1169117391c2e82c378467ef9ab4c8f0da7"},
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{file = "numpy-1.20.3-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:6e51534e78d14b4a009a062641f465cfaba4fdcb046c3ac0b1f61dd97c861b1b"},
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{file = "numpy-1.24.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7215847ce88a85ce39baf9e89070cb860c98fdddacbaa6c0da3ffb31b3350bd5"},
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{file = "numpy-1.20.3-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:e515c9a93aebe27166ec9593411c58494fa98e5fcc219e47260d9ab8a1cc7f9f"},
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{file = "numpy-1.24.4-cp311-cp311-win32.whl", hash = "sha256:4979217d7de511a8d57f4b4b5b2b965f707768440c17cb70fbf254c4b225238d"},
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{file = "numpy-1.20.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c1c09247ccea742525bdb5f4b5ceeacb34f95731647fe55774aa36557dbb5fa4"},
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{file = "numpy-1.24.4-cp311-cp311-win_amd64.whl", hash = "sha256:b7b1fc9864d7d39e28f41d089bfd6353cb5f27ecd9905348c24187a768c79694"},
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{file = "numpy-1.20.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:66fbc6fed94a13b9801fb70b96ff30605ab0a123e775a5e7a26938b717c5d71a"},
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{file = "numpy-1.24.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1452241c290f3e2a312c137a9999cdbf63f78864d63c79039bda65ee86943f61"},
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{file = "numpy-1.20.3-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:ea9cff01e75a956dbee133fa8e5b68f2f92175233de2f88de3a682dd94deda65"},
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{file = "numpy-1.24.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:04640dab83f7c6c85abf9cd729c5b65f1ebd0ccf9de90b270cd61935eef0197f"},
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{file = "numpy-1.20.3-cp38-cp38-win32.whl", hash = "sha256:f39a995e47cb8649673cfa0579fbdd1cdd33ea497d1728a6cb194d6252268e48"},
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{file = "numpy-1.24.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a5425b114831d1e77e4b5d812b69d11d962e104095a5b9c3b641a218abcc050e"},
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{file = "numpy-1.20.3-cp38-cp38-win_amd64.whl", hash = "sha256:1676b0a292dd3c99e49305a16d7a9f42a4ab60ec522eac0d3dd20cdf362ac010"},
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{file = "numpy-1.24.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd80e219fd4c71fc3699fc1dadac5dcf4fd882bfc6f7ec53d30fa197b8ee22dc"},
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{file = "numpy-1.20.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:830b044f4e64a76ba71448fce6e604c0fc47a0e54d8f6467be23749ac2cbd2fb"},
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{file = "numpy-1.24.4-cp38-cp38-win32.whl", hash = "sha256:4602244f345453db537be5314d3983dbf5834a9701b7723ec28923e2889e0bb2"},
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{file = "numpy-1.20.3-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:55b745fca0a5ab738647d0e4db099bd0a23279c32b31a783ad2ccea729e632df"},
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{file = "numpy-1.24.4-cp38-cp38-win_amd64.whl", hash = "sha256:692f2e0f55794943c5bfff12b3f56f99af76f902fc47487bdfe97856de51a706"},
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{file = "numpy-1.20.3-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:5d050e1e4bc9ddb8656d7b4f414557720ddcca23a5b88dd7cff65e847864c400"},
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{file = "numpy-1.24.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:2541312fbf09977f3b3ad449c4e5f4bb55d0dbf79226d7724211acc905049400"},
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{file = "numpy-1.20.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a9c65473ebc342715cb2d7926ff1e202c26376c0dcaaee85a1fd4b8d8c1d3b2f"},
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{file = "numpy-1.24.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9667575fb6d13c95f1b36aca12c5ee3356bf001b714fc354eb5465ce1609e62f"},
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||||||
{file = "numpy-1.20.3-cp39-cp39-win32.whl", hash = "sha256:16f221035e8bd19b9dc9a57159e38d2dd060b48e93e1d843c49cb370b0f415fd"},
|
{file = "numpy-1.24.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f3a86ed21e4f87050382c7bc96571755193c4c1392490744ac73d660e8f564a9"},
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||||||
{file = "numpy-1.20.3-cp39-cp39-win_amd64.whl", hash = "sha256:6690080810f77485667bfbff4f69d717c3be25e5b11bb2073e76bb3f578d99b4"},
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{file = "numpy-1.24.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d11efb4dbecbdf22508d55e48d9c8384db795e1b7b51ea735289ff96613ff74d"},
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{file = "numpy-1.20.3-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:4e465afc3b96dbc80cf4a5273e5e2b1e3451286361b4af70ce1adb2984d392f9"},
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{file = "numpy-1.24.4-cp39-cp39-win32.whl", hash = "sha256:6620c0acd41dbcb368610bb2f4d83145674040025e5536954782467100aa8835"},
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{file = "numpy-1.20.3.zip", hash = "sha256:e55185e51b18d788e49fe8305fd73ef4470596b33fc2c1ceb304566b99c71a69"},
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{file = "numpy-1.24.4-cp39-cp39-win_amd64.whl", hash = "sha256:befe2bf740fd8373cf56149a5c23a0f601e82869598d41f8e188a0e9869926f8"},
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{file = "numpy-1.24.4-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:31f13e25b4e304632a4619d0e0777662c2ffea99fcae2029556b17d8ff958aef"},
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{file = "numpy-1.24.4-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95f7ac6540e95bc440ad77f56e520da5bf877f87dca58bd095288dce8940532a"},
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{file = "numpy-1.24.4-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:e98f220aa76ca2a977fe435f5b04d7b3470c0a2e6312907b37ba6068f26787f2"},
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{file = "numpy-1.24.4.tar.gz", hash = "sha256:80f5e3a4e498641401868df4208b74581206afbee7cf7b8329daae82676d9463"},
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]
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]
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[[package]]
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[[package]]
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@ -1085,38 +1089,41 @@ tests = ["black (>=23.3.0)", "matplotlib (>=3.1.3)", "mypy (>=1.3)", "numpydoc (
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[[package]]
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[[package]]
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name = "scipy"
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name = "scipy"
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version = "1.9.1"
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version = "1.10.1"
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description = "SciPy: Scientific Library for Python"
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description = "Fundamental algorithms for scientific computing in Python"
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optional = false
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optional = false
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python-versions = ">=3.8,<3.12"
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python-versions = "<3.12,>=3.8"
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files = [
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files = [
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{file = "scipy-1.9.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c61b4a91a702e8e04aeb0bfc40460e1f17a640977c04dda8757efb0199c75332"},
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{file = "scipy-1.10.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e7354fd7527a4b0377ce55f286805b34e8c54b91be865bac273f527e1b839019"},
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{file = "scipy-1.9.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:d79da472015d0120ba9b357b28a99146cd6c17b9609403164b1a8ed149b4dfc8"},
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{file = "scipy-1.10.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:4b3f429188c66603a1a5c549fb414e4d3bdc2a24792e061ffbd607d3d75fd84e"},
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{file = "scipy-1.9.1-cp310-cp310-macosx_12_0_universal2.macosx_10_9_x86_64.whl", hash = "sha256:825951b88f56765aeb6e5e38ac9d7d47407cfaaeb008d40aa1b45a2d7ea2731e"},
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{file = "scipy-1.10.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1553b5dcddd64ba9a0d95355e63fe6c3fc303a8fd77c7bc91e77d61363f7433f"},
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{file = "scipy-1.9.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f950a04b33e17b38ff561d5a0951caf3f5b47caa841edd772ffb7959f20a6af0"},
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{file = "scipy-1.10.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4c0ff64b06b10e35215abce517252b375e580a6125fd5fdf6421b98efbefb2d2"},
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{file = "scipy-1.9.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8cc81ac25659fec73599ccc52c989670e5ccd8974cf34bacd7b54a8d809aff1a"},
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{file = "scipy-1.10.1-cp310-cp310-win_amd64.whl", hash = "sha256:fae8a7b898c42dffe3f7361c40d5952b6bf32d10c4569098d276b4c547905ee1"},
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{file = "scipy-1.9.1-cp310-cp310-win_amd64.whl", hash = "sha256:8d3faa40ac16c6357aaf7ea50394ea6f1e8e99d75e927a51102b1943b311b4d9"},
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{file = "scipy-1.10.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0f1564ea217e82c1bbe75ddf7285ba0709ecd503f048cb1236ae9995f64217bd"},
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{file = "scipy-1.9.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7a412c476a91b080e456229e413792bbb5d6202865dae963d1e6e28c2bb58691"},
|
{file = "scipy-1.10.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:d925fa1c81b772882aa55bcc10bf88324dadb66ff85d548c71515f6689c6dac5"},
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{file = "scipy-1.9.1-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:eb954f5aca4d26f468bbebcdc5448348eb287f7bea536c6306f62ea062f63d9a"},
|
{file = "scipy-1.10.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aaea0a6be54462ec027de54fca511540980d1e9eea68b2d5c1dbfe084797be35"},
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||||||
{file = "scipy-1.9.1-cp38-cp38-macosx_12_0_universal2.macosx_10_9_x86_64.whl", hash = "sha256:3c6f5d1d4b9a5e4fe5e14f26ffc9444fc59473bbf8d45dc4a9a15283b7063a72"},
|
{file = "scipy-1.10.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15a35c4242ec5f292c3dd364a7c71a61be87a3d4ddcc693372813c0b73c9af1d"},
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{file = "scipy-1.9.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:bc4e2c77d4cd015d739e75e74ebbafed59ba8497a7ed0fd400231ed7683497c4"},
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{file = "scipy-1.10.1-cp311-cp311-win_amd64.whl", hash = "sha256:43b8e0bcb877faf0abfb613d51026cd5cc78918e9530e375727bf0625c82788f"},
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{file = "scipy-1.9.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0419485dbcd0ed78c0d5bf234c5dd63e86065b39b4d669e45810d42199d49521"},
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{file = "scipy-1.10.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:5678f88c68ea866ed9ebe3a989091088553ba12c6090244fdae3e467b1139c35"},
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{file = "scipy-1.9.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:34441dfbee5b002f9e15285014fd56e5e3372493c3e64ae297bae2c4b9659f5a"},
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{file = "scipy-1.10.1-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:39becb03541f9e58243f4197584286e339029e8908c46f7221abeea4b749fa88"},
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||||||
{file = "scipy-1.9.1-cp38-cp38-win32.whl", hash = "sha256:b97b479f39c7e4aaf807efd0424dec74bbb379108f7d22cf09323086afcd312c"},
|
{file = "scipy-1.10.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bce5869c8d68cf383ce240e44c1d9ae7c06078a9396df68ce88a1230f93a30c1"},
|
||||||
{file = "scipy-1.9.1-cp38-cp38-win_amd64.whl", hash = "sha256:e8fe305d9d67a81255e06203454729405706907dccbdfcc330b7b3482a6c371d"},
|
{file = "scipy-1.10.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:07c3457ce0b3ad5124f98a86533106b643dd811dd61b548e78cf4c8786652f6f"},
|
||||||
{file = "scipy-1.9.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:39ab9240cd215a9349c85ab908dda6d732f7d3b4b192fa05780812495536acc4"},
|
{file = "scipy-1.10.1-cp38-cp38-win_amd64.whl", hash = "sha256:049a8bbf0ad95277ffba9b3b7d23e5369cc39e66406d60422c8cfef40ccc8415"},
|
||||||
{file = "scipy-1.9.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:71487c503e036740635f18324f62a11f283a632ace9d35933b2b0a04fd898c98"},
|
{file = "scipy-1.10.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cd9f1027ff30d90618914a64ca9b1a77a431159df0e2a195d8a9e8a04c78abf9"},
|
||||||
{file = "scipy-1.9.1-cp39-cp39-macosx_12_0_universal2.macosx_10_9_x86_64.whl", hash = "sha256:3bc1ab68b9a096f368ba06c3a5e1d1d50957a86665fc929c4332d21355e7e8f4"},
|
{file = "scipy-1.10.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:79c8e5a6c6ffaf3a2262ef1be1e108a035cf4f05c14df56057b64acc5bebffb6"},
|
||||||
{file = "scipy-1.9.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:f7c39f7dbb57cce00c108d06d731f3b0e2a4d3a95c66d96bce697684876ce4d4"},
|
{file = "scipy-1.10.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:51af417a000d2dbe1ec6c372dfe688e041a7084da4fdd350aeb139bd3fb55353"},
|
||||||
{file = "scipy-1.9.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:47d1a95bd9d37302afcfe1b84c8011377c4f81e33649c5a5785db9ab827a6ade"},
|
{file = "scipy-1.10.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1b4735d6c28aad3cdcf52117e0e91d6b39acd4272f3f5cd9907c24ee931ad601"},
|
||||||
{file = "scipy-1.9.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:96d7cf7b25c9f23c59a766385f6370dab0659741699ecc7a451f9b94604938ce"},
|
{file = "scipy-1.10.1-cp39-cp39-win_amd64.whl", hash = "sha256:7ff7f37b1bf4417baca958d254e8e2875d0cc23aaadbe65b3d5b3077b0eb23ea"},
|
||||||
{file = "scipy-1.9.1-cp39-cp39-win32.whl", hash = "sha256:09412eb7fb60b8f00b328037fd814d25d261066ebc43a1e339cdce4f7502877e"},
|
{file = "scipy-1.10.1.tar.gz", hash = "sha256:2cf9dfb80a7b4589ba4c40ce7588986d6d5cebc5457cad2c2880f6bc2d42f3a5"},
|
||||||
{file = "scipy-1.9.1-cp39-cp39-win_amd64.whl", hash = "sha256:90c805f30c46cf60f1e76e947574f02954d25e3bb1e97aa8a07bc53aa31cf7d1"},
|
|
||||||
{file = "scipy-1.9.1.tar.gz", hash = "sha256:26d28c468900e6d5fdb37d2812ab46db0ccd22c63baa095057871faa3a498bc9"},
|
|
||||||
]
|
]
|
||||||
|
|
||||||
[package.dependencies]
|
[package.dependencies]
|
||||||
numpy = ">=1.18.5,<1.25.0"
|
numpy = ">=1.19.5,<1.27.0"
|
||||||
|
|
||||||
|
[package.extras]
|
||||||
|
dev = ["click", "doit (>=0.36.0)", "flake8", "mypy", "pycodestyle", "pydevtool", "rich-click", "typing_extensions"]
|
||||||
|
doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
|
||||||
|
test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
|
||||||
|
|
||||||
[[package]]
|
[[package]]
|
||||||
name = "setuptools"
|
name = "setuptools"
|
||||||
@ -1346,4 +1353,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
|
|||||||
[metadata]
|
[metadata]
|
||||||
lock-version = "2.0"
|
lock-version = "2.0"
|
||||||
python-versions = ">=3.8,<3.9"
|
python-versions = ">=3.8,<3.9"
|
||||||
content-hash = "a98cc428fce111d8d491099663cb7afddf29b75d423a37217609c44dcbc9d314"
|
content-hash = "b288c9bc40f076c454ce67cbf114b7f7163f6afedd6e1b609150a018c262fe0b"
|
||||||
|
@ -21,10 +21,6 @@ sympy = "^1.12"
|
|||||||
matplotlib = "*" # = "3.7.5"
|
matplotlib = "*" # = "3.7.5"
|
||||||
pillow = "9.5"
|
pillow = "9.5"
|
||||||
scikit-learn = "1.3.2"
|
scikit-learn = "1.3.2"
|
||||||
# latest win32
|
|
||||||
scipy = "1.9.1"
|
|
||||||
numpy = "1.20.3"
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
[build-system]
|
[build-system]
|
||||||
|
Loading…
Reference in New Issue
Block a user